Datasets:
Tasks:
Text Retrieval
Sub-tasks:
entity-linking-retrieval
Languages:
English
Size:
100K<n<1M
ArXiv:
License:
Update citation metadata
Browse files
README.md
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### Citation Information
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```
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@inproceedings{
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}
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```
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### Citation Information
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```
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@inproceedings{yao-etal-2019-docred,
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title = "{D}oc{RED}: A Large-Scale Document-Level Relation Extraction Dataset",
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author = "Yao, Yuan and
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Ye, Deming and
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Li, Peng and
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Han, Xu and
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Lin, Yankai and
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Liu, Zhenghao and
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Liu, Zhiyuan and
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Huang, Lixin and
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Zhou, Jie and
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Sun, Maosong",
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booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics",
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month = jul,
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year = "2019",
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address = "Florence, Italy",
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publisher = "Association for Computational Linguistics",
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url = "https://aclanthology.org/P19-1074",
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doi = "10.18653/v1/P19-1074",
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pages = "764--777",
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}
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```
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docred.py
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_CITATION = """\
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@inproceedings{
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}
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"""
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_CITATION = """\
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@inproceedings{yao-etal-2019-docred,
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title = "{D}oc{RED}: A Large-Scale Document-Level Relation Extraction Dataset",
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author = "Yao, Yuan and
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Ye, Deming and
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Li, Peng and
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Han, Xu and
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Lin, Yankai and
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Liu, Zhenghao and
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Liu, Zhiyuan and
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Huang, Lixin and
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Zhou, Jie and
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Sun, Maosong",
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booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics",
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month = jul,
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year = "2019",
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address = "Florence, Italy",
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publisher = "Association for Computational Linguistics",
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url = "https://aclanthology.org/P19-1074",
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doi = "10.18653/v1/P19-1074",
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pages = "764--777",
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}
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"""
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